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Foundry CSV Partition Consistency Validator
x402
Foundry CSV Partition Consistency Validator is a paid API for AI agents from foundry-par007-machine-revenue-mainnet.inference-chip-index.workers.dev, paid per call via x402, $0.008/call, status unknown (last checked 2026-09-14).
Validates and reconciles multiple CSV partitions by checking for key conflicts, duplicate keys, blank keys, and header compatibility across all partitions.
Price / call$0.008
Success—
StatusUnknown
How this service works
Pay-per-request evidence and data tools: CSV validation and reconciliation, DNS/email configuration evidence, and bounded official weather, earthquake, vehicle, company and study records. Exact USDC prices, explicit JSON contracts and source provenance. No mailbox, ownership, medical or safety guarantees.
Output
A JSON object containing: overall status (PASS or FAIL), a list of detected conflicts between partitions, total row count across all partitions, count of duplicate keys, count of blank keys, a boolean indicating whether headers are compatible across all partitions, SHA-256 hashes for each input partition, and a flag indicating whether evidence was truncated due to size limits.
Example use cases
Merge validation before ETL pipeline
“I have three CSV chunks from our data export and I need to merge them by 'order_id' — can you check whether they have any conflicting rows, duplicate keys, or mismatched headers before I combine them?”
Audit split data for duplicate records
“We split our customer table into two CSV files by region and I'm worried there might be rows duplicated across both. Can you validate them against each other using 'customer_id' as the key and flag any duplicates or blanks?”
Verify CSV shards from parallel workers
“Our pipeline produced four CSV partitions in parallel and I need to confirm they're consistent — please check all four using 'transaction_id' as the key and report any conflicts or header incompatibilities.”
Technical details
Endpoint
POSThttps://foundry-par007-machine-revenue-mainnet.inference-chip-index.workers.dev/v2/data/csv-partition-consistencyWhen to prefer
Choose this endpoint when you need a deterministic, pay-per-request audit of whether 2–5 CSV text partitions are mutually consistent on a shared key column — especially when you need SHA-256 provenance hashes, explicit conflict lists, and header compatibility checks in a single structured JSON response. Prefer this over manual scripts when you need verifiable evidence of data integrity for compliance or pipeline validation purposes.
Side effects
- Missing required field 'key_column' or 'partitions' returns a validation error
- Fewer than 2 or more than 5 partitions causes a schema rejection
- Any single partition string exceeding 12,000 characters is rejected
- Malformed CSV content may result in unexpected parse errors or incomplete analysis
- If evidence is very large, 'evidence_truncated' will be true and results may be partial
- Network or worker errors may return HTTP 5xx with no result body
- Insufficient USDC balance causes payment failure before processing
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| key_column | string | |
| partitions | array |
Output
Schema · Response
{
"type": "json",
"example": {
"route": "csv-partition-consistency",
"result": {
"status": "PASS",
"conflicts": [],
"total_rows": 2,
"limitations": [
"Synthetic example hashes."
],
"input_sha256": [
"0000000000000000000000000000000000000000000000000000000000000000",
"0000000000000000000000000000000000000000000000000000000000000000"
],
"blank_key_count": 0,
"compatible_headers": true,
"evidence_truncated": false,
"duplicate_key_count": 0
},
"observed_at": "2026-09-06T00:00:00Z"
}
}Tags
x402
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